TreeWAS – [N95] Menopausal and other perimenopausal disorders

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.936	0.064	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.862	0.138	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.727	0.273	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.671	0.329	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.652	0.348	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.582	0.418	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.580	0.420	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.574	0.426	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.547	0.453	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.503	0.497	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.466	0.534	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.445	0.555	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.421	0.578	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.418	0.582	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.404	0.596	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.385	0.615	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.381	0.619	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.379	0.620	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.355	0.645	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.330	0.670	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.325	0.675	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.319	0.681	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.306	0.693	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.303	0.697	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.290	0.709	0.001
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.272	0.728	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.255	0.744	0.001
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.230	0.769	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.220	0.780	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.196	0.803	0.001
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.193	0.807	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.192	0.808	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.188	0.812	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.177	0.822	0.001
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.147	0.853	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.147	0.853	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.138	0.862	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.136	0.864	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.135	0.865	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.134	0.866	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.124	0.876	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.089	0.911	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.081	0.919	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.080	0.920	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.060	0.940	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.058	0.942	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.040	0.960	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.039	0.961	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.036	0.964	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.030	0.970	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.027	0.973	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.026	0.974	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.024	0.976	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.019	0.981	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.018	0.981	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.018	0.982	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.015	0.985	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.013	0.987	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.012	0.988	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.011	0.988	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.011	0.989	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.010	0.990	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.009	0.990	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.009	0.991	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.008	0.992	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.007	0.993	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.007	0.993	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.006	0.994	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.002	0.994	0.004
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.006	0.994	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.005	0.995	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.005	0.995	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.996	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.004	0.996	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.004	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.996	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.004	0.996	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	0.997	0.003
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.003	0.997	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.003	0.997	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.002	0.997	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.002	0.998	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.002	0.998	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	0.998	0.002
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.002	0.998	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.002	0.998	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	0.998	0.002
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.001	0.998	0.001
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.002	0.998	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.001	0.998	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.001	0.998	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	0.998	0.002
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.001	0.998	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.001	0.999	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.001	0.999	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.000	0.999	0.001
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.001	0.999	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.001	0.999	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.001	0.999	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.001	0.999	0.000
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.000	0.999	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	0.999	0.001
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.001	0.999	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.001	0.999	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.001	0.999	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.001	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.001	0.999	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.000	0.999	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.000	0.999	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	0.999	0.001
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.001	0.999	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.001	0.999	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.000	0.999	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.000	0.999	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.000	1.000	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.000	1.000	0.000
rs4986172 lBF = `-0.0437651` Chr`17` : `43,216,281`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	1.000	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.000	1.000	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs312457 lBF = `0.00409176` Chr`17` : `6,940,393`	0.000	1.000	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.000	1.000	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.000	1.000	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	1.000	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.000	1.000	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.000	1.000	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.000	1.000	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.000	1.000	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.000	1.000	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs12451788 lBF = `-0.0296921` Chr`17` : `1,941,048`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.000	1.000	0.000
rs9905820 lBF = `-0.0883363` Chr`17` : `12,637,371`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.000	1.000	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.000	1.000	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	1.000	0.000
rs12936587 lBF = `-0.0793414` Chr`17` : `17,543,722`	0.000	1.000	0.000
rs9907309 lBF = `0.581202` Chr`17` : `14,938,944`	0.000	1.000	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	1.000	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	1.000	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	1.000	0.000
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rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs7225151 lBF = `-0.0513115` Chr`17` : `5,137,047`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs4791051 lBF = `-0.0557701` Chr`17` : `64,538,331`	0.000	1.000	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	1.000	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	1.000	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	1.000	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	1.000	0.000
rs6504950 lBF = `-0.0717123` Chr`17` : `53,056,471`	0.000	1.000	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.000	1.000	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	1.000	0.000
rs10445407 lBF = `-0.083493` Chr`17` : `79,261,809`	0.000	1.000	0.000
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	1.000	0.000
rs7217319 lBF = `-0.0860359` Chr`17` : `38,924`	0.000	1.000	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	1.000	0.000
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.000	1.000	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	1.000	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.000	1.000	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	1.000	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	1.000	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	1.000	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	1.000	0.000
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	1.000	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	1.000	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	1.000	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.000	1.000	0.000
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.000	1.000	0.000
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	1.000	0.000
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.000	1.000	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs7220711 lBF = `0.388513` Chr`17` : `41,789,965`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	1.000	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	1.000	0.000
rs220470 lBF = `0.0547558` Chr`17` : `3,664,975`	0.000	1.000	0.000
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	1.000	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs8081460 lBF = `0.0270756` Chr`17` : `8,965,272`	0.000	1.000	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	1.000	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs2326017 lBF = `-0.00508694` Chr`17` : `46,720,565`	0.000	1.000	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.000	1.000	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.000	1.000	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	1.000	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.000	1.000	0.000
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs8065311 lBF = `-0.0275393` Chr`17` : `54,203,360`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs623011 lBF = `-0.0326514` Chr`17` : `68,259,446`	0.000	1.000	0.000
rs8074700 lBF = `-0.0327177` Chr`17` : `46,749,791`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs4129767 lBF = `-0.0382041` Chr`17` : `76,403,984`	0.000	1.000	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.000	1.000	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9996

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9941

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9941

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9853

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9813

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9801

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9769

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9267

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8965

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8772

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8390

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7680

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7607

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7371

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7011

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6303

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6224

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5839

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5716

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5330

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4876

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4811

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4757

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4176

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3506

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.3504

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3369

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3361

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3266

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3239

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2946

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2833

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2739

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2725

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2428

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2064

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1694

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1642

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1552

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1333

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0992

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0875

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0857

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0856

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0814

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0616

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Parent term	N80-N98 Noninflammatory disorders of female genital tract
Nested terms	N95.0 Postmenopausal bleeding N95.1 Menopausal and female climacteric states N95.2 Postmenopausal atrophic vaginitis N95.3 States associated with artificial menopause N95.8 Other specified menopausal and perimenopausal disorders N95.9 Menopausal and perimenopausal disorder, unspecified

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)